See the sections below for more information about histogram options and gating tools. In contrast to dot plots or other bivariate displays, there are different types of options and gating tools for histograms. 7-AAD) was used during staining, you can quickly evaluate whether you have high or low numbers of live cells (live cells will be largely 7-AAD negative). This can be helpful to quickly analyze whether your samples have normal, uniform, bimodal, or other type of distribution. Histograms display a frequency distribution of the data versus fluorescence intensity or some other parameter (e.g. Use histograms to view frequency distribution of your flow data, one parameter at a time. To view your plot as a histogram, simply click the drop-down menu on the left side of the Graph Window and select “Histogram” from the menu. Prism doesn't "know" these labels are numbers, so doesn't use the value as a X coordinate.FlowJo v10 makes it easy to convert bivariate dot plots to univariate histograms with a click of a button! Also note that the values are equally spread across the X axis. Note that there is no heading "X" and that the labels (numbers) entered in that column are left justified (X values would be right justified). The table below if a Grouped table with no X column. Prism sees these as titles or labels, even if you enter numbers in every row. A Grouped table has a column for entry of row titles. What happens if you enter X values into the row title column of a Grouped (or XY) table?
The X error values never enter into any calculations. You cannot enter two error values to create asymmetric X error bars. Prism doesn't know if it is a SE or SD or something else. You can only enter one error value for each X. If you choose to enter X error values, the table will include a subcolumn for that purpose. However, you can delete the unneeded graphs and include data from all the data tables on a single graph. Another minor disadvantage is that Prism will automatically make a different graph for each table.
You must enter all the data sets on one table in order for Prism to compare linear regression lines, to compare best-fit values from nonlinear regression, and to compare survival curves. The disadvantage with this method is that you lose some analysis choices. This example shows three data sets with different X values.Īn alternative approach is to enter each data set on a different table. You don't have to start entering data in the first row. The best approach is to stagger the data entry. What should you do if you have different X values for each set of Y values? There are two ways to solve this problem. You can only enter one value for X errors, so X error bars are always symmetrical.Įntering multiple sets of data that don't share X valuesĮach data table has a single column for X and up to 104 sets of Y values. You must enter X error values directly Prism cannot compute them. Prism can also plot horizontal X error bars. You can also choose to create subcolumns formatted for entry of error values computed elsewhere. Specify the number of subcolumns when you create a new XY table. Prism will compute and graph error bars from replicate values placed in side by side subcolumns as shown (triplicate values) in the table above. ▪ XY tables can be configured to enter dates or times into the X column, instead of numbers. ▪ An XY data table can contain 256 data set columns and as many as 256 sub-columns. ▪ Blue italics values are excluded from graphs and analyses. Prism uses these to calculate error bars. ▪ Subcolumns are for replicates in a treatment group. If you choose to enter X error values, then there will be two subcolumns (one for X, one for the error value). ▪ The first optional column is for row titles to label individual subjects or samples.